Review Paper
pedrohcgs/claude-code-my-workflow
Comprehensive manuscript review with three modes: single-pass (default), --adversarial critic-fixer loop, and --peer [journal] simulated peer-review pipeline (editor + 2 dispositioned referees +…
Agent skill
Jse Tju Robustness Reproducibility
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial…
Install Jse Tju Robustness Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibility --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .claude/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .claude/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibility --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .agents/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .agents/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibility --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .cursor/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .cursor/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibility --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .gemini/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .gemini/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .github/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .github/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jse-tju-robustness-reproducibility --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility .opencode/skills/jse-tju-robustness-reproducibility && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "jse-tju-robustness-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility into .opencode/skills/jse-tju-robustness-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jse-tju-robustness-reproducibility", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
jse-tju-robustness-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~744 tokens
- SKILL.md length
- 90 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial…
- Works in 7 steps: 建立主张—脆弱点映射 → 设计敏感性 → 检验初值和极端情景 → …
- Stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering
- SKILL.md covers 触发时机, 输入诊断, 五层压力测试 and 处理步骤, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Jse Tju Robustness Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial conditions, alternative models and metrics, extreme scenarios, Monte Carlo repetition, random seeds, software versions, data and code statements, and explicit failure boundaries.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Reproducible research and Load testing. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering
- Tianjin University)
- Including parameter sensitivity
- Initial conditions
Example prompts
- “/jse-tju-robustness-reproducibility”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Jse Tju Robustness Reproducibility loads about 744 tokens when it runs. Until then it costs about 97 tokens; SKILL.md has 90 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 90 words, ~744 tokens.
Download SKILL.mdSave it as
.claude/skills/jse-tju-robustness-reproducibility/SKILL.md (or your agent's skills folder).- name
- jse-tju-robustness-reproducibility
- description
- Use when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial conditions, alternative models and metrics, extreme scenarios, Monte Carlo repetition, random seeds, software versions, data and code statements, and explicit failure boundaries.
《系统工程学报》稳健性与可复现性（jse-tju-robustness-reproducibility）
触发时机
当主验证已经建立，需要判断结论是否依赖单组参数、初值、模型、指标、随机样本或软件环境时使用。
稳健性不是在正文末尾追加若干表，而是对核心主张的有效域做压力测试；可复现性则让读者能够重建
输入、执行与输出。工具接口建议见 code/README.md。
输入诊断
收集核心主张、主验证设计、数据/实例、参数表、代码入口、随机过程、软件环境、已有敏感性结果和 数据共享限制。先建立依赖清单：
- 哪些参数来自数据、文献、校准或任意设定？
- 哪些结论可能受初始状态、网络结构或情景生成影响？
- 哪些模型选择、变量口径或指标存在合理替代？
- 哪些步骤含随机性或人工处理？
- 哪些材料不能公开，原因和可替代复核路径是什么？
若主张本身未与证据匹配，先回到 jse-tju-validation，不要用稳健性掩盖主验证缺失。
五层压力测试
| 层 | 检验对象 | 典型动作 |
|---|---|---|
| 参数 | 系统参数、算法超参数、估计参数 | 单因素、联合设计、分区扫描 |
| 状态 | 初值、网络拓扑、需求/冲击路径 | 多初值、重抽样、结构扰动 |
| 模型 | 函数形式、行为规则、误差结构 | 替代模型、嵌套/非嵌套比较 |
| 指标 | 效率、风险、公平、预测/拟合指标 | 替代定义、阈值与分组 |
| 情景 | 正常、极端、故障、分布漂移 | 压力测试、反事实、尾部情景 |
不是每层都必须出现；选择能击中主张最脆弱假设的测试。
处理步骤
1. 建立主张—脆弱点映射
对每条主张写出最可能推翻它的参数、初值、模型选择和数据处理。优先测试能改变结论方向、阈值、 排序或可行性的因素，不把计算预算耗在无关小数位。
2. 设计敏感性
参数范围要有现实、数据或归一化依据。非线性与交互明显时使用联合设计、网格、拉丁超立方或全局 敏感性；不要仅将所有参数机械地上下浮动同一比例。区分数值误差与实质变化。
3. 检验初值和极端情景
动态/仿真稿覆盖多个吸引域、网络密度、冲击强度和恢复能力；优化稿覆盖容量紧张与宽松、规模和 不确定性；预测/实证稿覆盖时间、群体、区域与分布漂移。报告失稳、不可行和性能崩塌。
4. 使用替代模型和指标
替代模型应对应合理竞争解释，而不是随意更换估计器。替代指标要检验结论是否只依赖一种口径。 若结论变化，解释差异来自测量、识别还是系统机制，不用“总体稳健”掩盖。
5. 控制随机性
为数据切分、情景生成、初始化和随机算法分别设种子。Monte Carlo 或启发式重复报告次数、分布、 均值/中位数、区间和失败率。种子不是消除随机性，而是允许重现特定运行。
6. 固化环境和入口
列操作系统、语言、依赖、求解器、硬件、线程、容差和命令入口；保存配置、实例清单和原始到分析 数据的步骤。不要提交论文全文、凭据或无许可数据；受限数据给出字段字典和获得/复核方式。
7. 写失败边界
明确在哪些范围结论反转、模型失稳、算法超时、预测失准或政策含义不再成立。失败边界是系统工程 贡献的一部分，不应从图表中删除。
复现清单
entrypoint: [command / notebook order]
inputs: [data, instances, schemas, licenses]
configuration: [system parameters, solver/model settings]
randomness: [seed locations, repetitions]
environment: [OS, language, packages, solver, hardware]
outputs: [tables/figures/result files and checksums if used]
expected diagnostics: [tolerance, range, status]
restricted material: [reason and independent verification path]
failure boundaries: [known non-convergence/infeasibility/drift]微型示例
网络级联模型的主结论是“共享提高韧性”。应联合改变共享精度、网络集中度和恢复容量，使用多组初值 和冲击节点重复；用替代韧性指标检验排序；报告高集中、低容量区间中共享导致同步响应而反转的情形。 仅把传播率上下浮动 10% 并重复一张图，不足以支持稳健。
反模式
- 将任意参数统一上下浮动 5% 或 10%，不说明范围依据。
- 只保留支持主结论的随机种子。
- 只报平均改善，不报尾部、不可行和失败率。
- 代码依赖本机绝对路径、手工步骤或未记录的数据清洗。
- 声称“数据可按需提供”，却不说明许可与复核路径。
- 将结论反转写成数值异常。
期刊专属拒稿风险
复杂系统、网络、仿真、优化和预测结果常对结构与初值敏感；忽略这些边界会让系统级结论显得过度
概括。仓库不复制大型代码模板，也不意味着无需复现说明。官方是否要求特定附件属于动态事实，
必须查 official-source-map.md。
输出格式
【核心主张—脆弱点矩阵】
【参数与范围依据】
【初值 / 结构 / 极端情景】
【替代模型与替代指标】
【随机种子、重复与统计】
【环境、入口、输入与输出】
【数据/代码可用性说明】
【反转、失稳、超时和外推边界】
【正文 / 附录 / 仓库分配】
【最大拒稿风险】© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Jse Tju Robustness Reproducibility next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Jse Tju Robustness Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~744 | Automated safety check: Pass | MIT | |
| Review Paperpedrohcgs/claude-code-my-workflow | 1.7k | — | ~7.3k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| Good QuestionRimagination/good-question | 305 | 1 repos | ~4.3k | Automated safety check: Pass | MIT | |
| LLM Counciltenfoldmarc/llm-council-skill | 823 | 1 repos | ~4.2k | Automated safety check: Pass | None | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None |
Similar skills
Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
Good Question
Rimagination/good-question
A skill your agent uses when a researcher is choosing, framing, refining, or stress-testing a research question, hypothesis, thesis topic, project idea, grant direction, paper angle, or stalled…
LLM Council
tenfoldmarc/llm-council-skill
Run any question, idea, or decision through a council of 5 AI advisors who independently analyze it, peer-review each other anonymously, and synthesize a final verdict.
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
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Questions about Jse Tju Robustness Reproducibility
What does Jse Tju Robustness Reproducibility do?
A skill your agent uses when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial…. Jse Tju Robustness Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering, Tianjin University), including parameter sensitivity, initial conditions, alternative models and metrics, extreme scenarios, Monte Carlo repetition, random seeds, software versions, data and code statements, and explicit failure boundaries.
When should I use Jse Tju Robustness Reproducibility?
Jse Tju Robustness Reproducibility fits situations like: stress-testing and packaging the reproducibility evidence for 《系统工程学报》 (Journal of Systems Engineering; tianjin University); including parameter sensitivity; initial conditions.
How do I install Jse Tju Robustness Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a claude-code`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jse-tju-robustness-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Jse Tju Robustness Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a codex`. Or copy the skill folder (Journal-of-Systems-Engineering-Skills/skills/jse-tju-robustness-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jse-tju-robustness-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Jse Tju Robustness Reproducibility in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jse-tju-robustness-reproducibility -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jse-tju-robustness-reproducibility, .gemini/skills/jse-tju-robustness-reproducibility, .github/skills/jse-tju-robustness-reproducibility and .opencode/skills/jse-tju-robustness-reproducibility in your project.
What does Jse Tju Robustness Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Jse Tju Robustness Reproducibility is instructions for the agent only.
Does Jse Tju Robustness Reproducibility access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Jse Tju Robustness Reproducibility safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Jse Tju Robustness Reproducibility use?
Jse Tju Robustness Reproducibility is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Jse Tju Robustness Reproducibility use?
About 744 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Jse Tju Robustness Reproducibility?
Skills that share tags, products or a category with Jse Tju Robustness Reproducibility: Review Paper (pedrohcgs/claude-code-my-workflow, 1.7k stars), Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), Good Question (Rimagination/good-question, 305 stars) and LLM Council (tenfoldmarc/llm-council-skill, 823 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Jse Tju Robustness Reproducibility?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.